| Autor: |
Inmaculada Prior-Sánchez, Aura Dulcinea Herrera-Martínez, María Teresa Zarco-Martín, Rocío Fernández-Jiménez, Montserrat Gonzalo-Marín, Araceli Muñoz-Garach, Francisco Javier Vilchez-López, Manuel Cayón-Blanco, Ana Villarrubia-Pozo, Concepción Muñoz-Jiménez, Felisa Pilar Zarco-Rodríguez, Juana María Rabat-Restrepo, Luis Miguel Luengo-Pérez, Hatim Boughanem, María José Martínez-Ramírez, Jose Manuel García-Almeida |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Frontiers in Nutrition, Vol 11 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2296-861X |
| DOI: |
10.3389/fnut.2024.1335052 |
| Popis: |
IntroductionBioelectrical impedance analysis (BIA) serves as a method to estimate body composition. Parameters such as phase angle (PA), standardized phase angle (SPA), body mass cell (BCM), BCM index (BCMI), and fat-free mass (FFM) might significantly impact the prognosis of head and neck cancer (HNC) patients. The present study aimed to investigate whether bioelectrical parameters can be used to predict survival in the HNC population and establish the optimal cutoff points for predictive accuracy.MethodsA multicenter observational study was performed across 12 tertiary hospitals in Andalusia (a region from the south of Spain). A total of 494 patients diagnosed with HNC between 2020 and 2022 at different stages were included in this study, with a minimum follow-up period of 12 months. The BIA assessment was carried out during the first 2 weeks of radical radiotherapy treatment with chemotherapy or other systemic treatments. A multivariate logistic regression analysis of overall survival, complications, hospital admission, and palliative care and its relationship with BIA nutritional assessment was performed.ResultsSignificant prognostic factors identified in the multivariable analysis encompassed phase angle (PA), standardized phase angle (SPA), body cell mass (BCM), and BCM index (BCMI). Lower PA and BCM values were significantly associated with adverse clinical outcomes. A BCM threshold above 17 kg/m2 was the most significant predictor for predicting survival within the overall HNC population. The PA values of |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
